Visual Q&A in Healthcare is an innovative platform that utilizes machine learning and computer vision to enable users to upload medical images, ask questions, and receive accurate answers. The web-based solution offers an intuitive interface and provides a reliable source of healthcare information to patients, doctors, and healthcare professional

A Machine Learning approach for detecting malicious executable files with 98% accuracy

Medicare is a medical management system integrating machine learning for disease prediction. It handles patient records, appointments, consultations, revenue tracking, and generates invoices, medical reports, and analytics dashboards.

Building a Breast cancer classification model using Random Forest Classifier and deploying it to a web application using Flask framework

Web Application developed using python flask framework to check whether a stock prices will go up(bulls) or down(bears) using Random Forest Classifier, SVM and Decision Tree Classifier

This is a chatbot that accurately predicts the disease based on the symptoms provided using random forest algorithm

This project aims to develop a machine learning application for water quality analysis.